An AI-native operator to turn Cisco's AI coding experiments into measured, enterprise-grade engineering velocity.

I'm Stephen Mordue, an AI-native product and technology leader in San Francisco with 15+ years across medical devices, B2B / B2C apps, and consumer electronics. I build AI applications that ship and move margins, and I'd like to do that as your AI Strategy & Productivity leader.

Email me LinkedIn 650-389-9384

What I read about Cisco

Cisco is building an enterprise-wide AI Strategy & Productivity function to modernize the SDLC for thousands of engineers, and is moving from fragmented AI experimentation to repeatable capabilities, measured on throughput, code quality, DevEx, and realized financial value. [1]

Three AI applications I'd start with

Agentic SDLC scorecard

A shared measurement layer that goes beyond seat adoption: per-team throughput, change-failure rate, review latency, and DevEx pulse, tied to dollars saved, so every AI tooling spend has a visible ROI line.

Grounded in source [1]

Spec-to-code harness program

Standard harnesses for spec-driven development with coding agents (spec, tests, agent run, human review), piloted with two business units and then packaged as a paved road with guardrails from Security & Trust.

Grounded in source [2]

Vendor and model portfolio council

A lightweight intake and evaluation loop for model and tool vendors, with eval sets drawn from Cisco's real repos, so partnership decisions are made on measured lift rather than demos.

Grounded in source [1]

Proof from my work

−50% → +150% marginsRebuilt and repriced Adherium's clinical-studies and monitoring line as VP of Product / CTO (2024–25).
Audit-ready in a regulated marketLed Adherium's 2025 notified-body audit for a hardware-plus-software device and plant (ISO 9001, GMP, QMS, HIPAA).
30% faster delivery with a custom LLMTrained a custom LLM on a proprietary mixed-format dataset and shipped it as a web / mobile chatbot.
30–90% shorter timelinesAgents, chatbots, RAG knowledge bases, and call-center / IVR automation for Toptal clients (top 3%), saving $100ks.
3–20 hours saved per person per weekTrained client teams on prompting, chaining, custom tools, and custom GPTs.
2× revenue in 5 monthsGrew Verlocal marketplace revenue to $600k/month; pivoted Kenzen's wearable into a 100× larger market with Fortune 10 customers.

Also: early team at AliveCor (FDA 510(k) files, HIPAA), Stryker Endoscopy, Abbott Diabetes Care, and Micronics; VP of Product at Kenzen; 6 patents; B.S. Mechanical Engineering, University of Washington. I work AI-native every day in Cursor, Claude Code, ChatGPT, Copilot, and Grok.

30 / 60 / 90

30 days

Listen and map

Meet the leaders who own the outcomes, inventory live AI efforts and data, and agree on 3 measurable target metrics. Ship one working prototype against a real workflow.

60 days

Prove value

Take the top use case to a production pilot with evals, guardrails, and a baseline. Publish a prioritized AI roadmap with build, buy, or partner calls for each capability.

90 days

Scale the system

Turn the pilot into a paved road other teams can reuse, report results in dollars and hours, and line up the next two bets with owners and dates.

Let's talk

If this is useful for the Senior Director, AI Strategy & Productivity search or a related AI leadership need, I'd welcome 20 minutes.

marslaunch481@gmail.com 650-389-9384 linkedin.com/in/stephenmordue

Sources

An independent proposal prepared by Stephen Mordue (10timesIt LLC). Not affiliated with, endorsed by, or sponsored by Cisco. Company names are used only to identify the company. Ideas are based on public information listed above.